Pith Number
pith:WYOTBFJ7
pith:2024:WYOTBFJ7QQMQGICFT6LUCJO76D
not attested
not anchored
not stored
refs pending
A4-Unet: Deformable Multi-Scale Attention Network for Brain Tumor Segmentation
arxiv:2412.06088 v1 · 2024-12-08 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WYOTBFJ7QQMQGICFT6LUCJO76D}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T09:46:14.810346Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b61d30953f84190320459f974125dff0c1c139873688dd1fc9cb48dbeebcbe30
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WYOTBFJ7QQMQGICFT6LUCJO76D \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: b61d30953f84190320459f974125dff0c1c139873688dd1fc9cb48dbeebcbe30
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0e0d082cc1af8a374e1025232052801bca0705c08db8cd505c6062d71d2c95b7",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-12-08T22:28:53Z",
"title_canon_sha256": "9d77f4bf6741de8055420f7fc5738c91b85bee4fcd2ece4593d3f2c164f41278"
},
"schema_version": "1.0",
"source": {
"id": "2412.06088",
"kind": "arxiv",
"version": 1
}
}